Chemical Engineering Maths (2140505)  

5
Credit
3 + 2 + 0
Lect + Tuto + Pract
Teaching Scheme
70 + 20 + 10
ESE + PA + ALA
Theory Marks
30 + 0 + 20
ESE + OEP + PA
Practical Marks
ESE - End Semester Examination, PA - Progress Assessment, ALA - Active Learning Assignments, OEP -Open Ended Problem


Prerequisite

Engineering Mathematics

Rationale

In chemical engineering, problems arising in heat and mass transfer, fluid mechanics, chemical reaction engineering, thermodynamics, modeling and simulation, etc. involve linear algebra, nonlinear algebraic equations, ordinary differential equations, partial differential equations, etc. The numerical methods give the solution of applied problems when ordinary analytical methods fail. The increasing importance of numerical methods has led to enhanced demand for courses dealing with the techniques of numerical analysis. It is therefore clean training in engineering would be incomplete without an adequate understanding of numerical methods. The students should gain ability which enables them to select the appropriate numerical technique to solve a given engineering problem.

Course Outcome

After learning the course the students should be able:

  1. Understand the basic algorithms for solution of and be able to solve non-linear equations.
  2. Understand the basic algorithms for solution of and be able to solve linear algebraic equations.
  3. Be proficient in manipulation of logarithmic, exponential, and other non-linear functions in order to linearize and to regress non-linear expressions.
  4. Understand the basic algorithms for fitting curves to data.
  5. Understand the basic algorithms for solution of and be able to solve numerical integration problems.
  6. Understand the basic algorithms for solution of and be able to solve problems in ordinary differential equations.
  7. Be familiar with a variety of numerical methods for solving partial differential equations.
  8. Be proficient in the use of programming language such as C or FORTRAN and use of software such as Excel Spreadsheets, Polymath, Matlab or Scilab, etc. to solve the types of problems listed above.
  9. Deal comfortably when encountering and solving the types of problems listed above.
  10. Be able to apply the techniques learnt in this subject to the solution of a comprehensive design problem.

Active Learning

Preparation of power-point slides, which include videos, animations, pictures, graphics for better understanding theory and practical work – The faculty will allocate chapters/ parts of chapters to groups of students so that the entire syllabus to be covered. The power-point slides should be put up on the web-site of the College/ Institute, along with the names of the students of the group, the name of the faculty, Department and College on the first slide. The best three works should submit to GTU.